{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.insert(0, \"../../\")\n",
    "from pyecharts import online\n",
    "online()\n",
    "#  演示必要的准备代码，使用该库时不需重复此单元格命令"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xalpha as xa\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 指定标的的交易分析"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 想要进行交易分析首先需要交易单"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "path='../../tests/demo.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "read = xa.record(path) \n",
    "# record 类用来从指定位置读取 csv 文件，并将交易单数据存储在 self.status 中\n",
    "# 该类可直接接受 pd.read_csv() 的多样的关键字参数，比如 skiprows=1, 这样就可以在真实的记账单首行标注基金名称，而不影响程序处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>001180</th>\n",
       "      <th>003376</th>\n",
       "      <th>100032</th>\n",
       "      <th>001469</th>\n",
       "      <th>164818</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-09-28</td>\n",
       "      <td>200.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>700.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>270.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-10-17</td>\n",
       "      <td>100.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>225.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-12-12</td>\n",
       "      <td>-90.0</td>\n",
       "      <td>242.0</td>\n",
       "      <td>-80.00</td>\n",
       "      <td>380.000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-01-18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>200.05</td>\n",
       "      <td>100.000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-07-05</td>\n",
       "      <td>300.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>770.00</td>\n",
       "      <td>-100.000</td>\n",
       "      <td>210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2018-07-26</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-10000.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-0.005</td>\n",
       "      <td>0.0</td>\n",
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      "text/plain": [
       "        date  001180   003376  100032   001469  164818\n",
       "0 2016-09-28   200.0      0.0  700.00    0.000   270.0\n",
       "1 2017-10-17   100.0    300.0  225.00    0.000     0.0\n",
       "2 2017-12-12   -90.0    242.0  -80.00  380.000     0.0\n",
       "3 2018-01-18     0.0      0.0  200.05  100.000     0.0\n",
       "4 2018-07-05   300.0    200.0  770.00 -100.000   210.0\n",
       "5 2018-07-26     0.0 -10000.0    0.00   -0.005     0.0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read.status \n",
    "#  一个示例的交易单演示\n",
    "## 特别注意由于基金申购是按照金额，赎回是按照份额，因此交易单采用此惯例，正数代表申购金额，负数代表赎回份额\n",
    "## 数据理论上小数点后两位有效，不过从第二位小数开始，数字起到了一些特殊标记的作用，因此仅完美支持一位小数，对于绝大多数人完全够用\n",
    "## 金额是不需要考虑申购和赎回费的，简单记录您申购的总金额或赎回的份额，程序将完全充分的考虑所有申购赎回折算分红等情况，确保和真实持仓波动完全一致\n",
    "## 在原始的 csv 形式中，0 不必要显式写出，直接空过去就好\n",
    "## 小数点第二位的5，如果当天恰为该基金的登记分红日，则视为选择了分红再投入，否则默认分红拿现金\n",
    "## 若负数绝对值小于 0.005，则视为赎回的份额比例而非份额数目， －0.005 表示清仓，依此线性缩放\n",
    "## 更进一步的，非交易交易记录或是赎回份额超过持有总数， 程序都将作出协调自洽的处理"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 现在分析一下 001180 基金的交易情形"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "f = xa.fundinfo('001180')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "广发医药卫生联接A"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "f_t = xa.trade(f, read.status) # 给定标的和账单，交易就生成了"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "广发医药卫生联接A"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f_t.aim # 查看该交易的标的"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "    }\n",
       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>基金名称</th>\n",
       "      <th>基金代码</th>\n",
       "      <th>当日净值</th>\n",
       "      <th>单位成本</th>\n",
       "      <th>持有份额</th>\n",
       "      <th>基金现值</th>\n",
       "      <th>基金总申购</th>\n",
       "      <th>历史最大占用</th>\n",
       "      <th>基金持有成本</th>\n",
       "      <th>基金分红与赎回</th>\n",
       "      <th>换手率</th>\n",
       "      <th>基金收益总额</th>\n",
       "      <th>投资收益率</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>广发医药卫生联接A</td>\n",
       "      <td>001180</td>\n",
       "      <td>0.7721</td>\n",
       "      <td>0.831</td>\n",
       "      <td>630.39</td>\n",
       "      <td>486.72</td>\n",
       "      <td>600.0</td>\n",
       "      <td>523.86</td>\n",
       "      <td>523.86</td>\n",
       "      <td>76.14</td>\n",
       "      <td>0.346908</td>\n",
       "      <td>-37.14</td>\n",
       "      <td>-7.0897</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        基金名称    基金代码    当日净值   单位成本    持有份额    基金现值  基金总申购  历史最大占用  基金持有成本  \\\n",
       "0  广发医药卫生联接A  001180  0.7721  0.831  630.39  486.72  600.0  523.86  523.86   \n",
       "\n",
       "   基金分红与赎回       换手率  基金收益总额   投资收益率  \n",
       "0    76.14  0.346908  -37.14 -7.0897  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f_t.dailyreport()  # 该交易截止昨天的信息总结，也可以给定'2018-01-01'形式的时间参数，来了解任意一天的基金持有概况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.04879311024975706"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f_t.xirrrate('2018-07-01') # 计算截止7.1的 xirr 收益率，最客观的年化收益指标"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "                    \"2016-12-20T00:00:00\",\n",
       "                    196.82\n",
       "                ],\n",
       "                [\n",
       "                    \"2016-12-21T00:00:00\",\n",
       "                    198.08\n",
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       "                    197.83\n",
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       "                    196.25\n",
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       "                    197.09\n",
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       "                    196.92\n",
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       "                    196.32\n",
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       "                    195.71\n",
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       "                    197.26\n",
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       "                    198.35\n",
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       "                    199.39\n",
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       "                    199.07\n",
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       "                    197.61\n",
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       "                    198.42\n",
       "                ],\n",
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       "                    197.98\n",
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       "                    196.47\n",
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       "                    194.82\n",
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       "                    193.01\n",
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       "                    189.88\n",
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       "                    189.61\n",
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       "                    192.08\n",
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       "                    194.69\n",
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       "                    197.39\n",
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       "                    195.95\n",
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       "                    195.36\n",
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       "                    198.82\n",
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       "                    200.92\n",
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       "                    199.88\n",
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       "                    198.92\n",
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       "                    199.24\n",
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       "                    199.86\n",
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       "                    201.12\n",
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       "                    201.17\n",
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       "                    202.82\n",
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       "                    205.91\n",
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       "                    204.65\n",
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       "                    204.33\n",
       "                ],\n",
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       "                    202.84\n",
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       "                    \"2017-03-30T00:00:00\",\n",
       "                    200.0\n",
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       "                    203.17\n",
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       "                    201.21\n",
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       "                    200.84\n",
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       "                    200.52\n",
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       "                    201.83\n",
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       "                    200.25\n",
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       "                    199.39\n",
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       "                    199.66\n",
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       "                    198.67\n",
       "                ],\n",
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       "                    201.46\n",
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       "                    201.14\n",
       "                ],\n",
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       "                    198.13\n",
       "                ],\n",
       "                [\n",
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       "                    198.2\n",
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       "                    198.32\n",
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       "                    198.72\n",
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       "                    198.08\n",
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       "                    197.63\n",
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       "                    196.97\n",
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       "                    193.76\n",
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       "                    191.53\n",
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       "                    192.1\n",
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       "                    193.53\n",
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       "                    196.03\n",
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       "                    196.3\n",
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       "                    195.56\n",
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       "                    194.0\n",
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       "                    194.92\n",
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       "                    200.3\n",
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       "                ],\n",
       "                [\n",
       "                    \"2017-08-30T00:00:00\",\n",
       "                    198.72\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-08-31T00:00:00\",\n",
       "                    198.77\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-09-01T00:00:00\",\n",
       "                    199.29\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-09-04T00:00:00\",\n",
       "                    200.2\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-09-05T00:00:00\",\n",
       "                    201.09\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-09-06T00:00:00\",\n",
       "                    200.79\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-09-07T00:00:00\",\n",
       "                    200.92\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-09-08T00:00:00\",\n",
       "                    201.86\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-09-11T00:00:00\",\n",
       "                    201.21\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-09-12T00:00:00\",\n",
       "                    200.75\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-09-13T00:00:00\",\n",
       "                    201.34\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-09-14T00:00:00\",\n",
       "                    201.46\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-09-15T00:00:00\",\n",
       "                    201.36\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-09-18T00:00:00\",\n",
       "                    202.5\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-09-19T00:00:00\",\n",
       "                    201.83\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-09-20T00:00:00\",\n",
       "                    202.4\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-09-21T00:00:00\",\n",
       "                    201.31\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-09-22T00:00:00\",\n",
       "                    200.87\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-09-25T00:00:00\",\n",
       "                    201.81\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-09-26T00:00:00\",\n",
       "                    201.12\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-09-27T00:00:00\",\n",
       "                    201.26\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-09-28T00:00:00\",\n",
       "                    201.91\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-09-29T00:00:00\",\n",
       "                    202.7\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-10-09T00:00:00\",\n",
       "                    205.02\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-10-10T00:00:00\",\n",
       "                    209.12\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-10-11T00:00:00\",\n",
       "                    210.13\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-10-12T00:00:00\",\n",
       "                    210.18\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-10-13T00:00:00\",\n",
       "                    210.7\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-10-16T00:00:00\",\n",
       "                    208.2\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-10-17T00:00:00\",\n",
       "                    308.56\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-10-18T00:00:00\",\n",
       "                    311.11\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-10-19T00:00:00\",\n",
       "                    312.98\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-10-20T00:00:00\",\n",
       "                    312.72\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-10-23T00:00:00\",\n",
       "                    316.74\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-10-24T00:00:00\",\n",
       "                    316.85\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-10-25T00:00:00\",\n",
       "                    319.81\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-10-26T00:00:00\",\n",
       "                    318.02\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-10-27T00:00:00\",\n",
       "                    318.16\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-10-30T00:00:00\",\n",
       "                    314.99\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-10-31T00:00:00\",\n",
       "                    314.99\n",
       "                ],\n",
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       "                    \"2017-11-01T00:00:00\",\n",
       "                    314.36\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-11-02T00:00:00\",\n",
       "                    314.18\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-11-03T00:00:00\",\n",
       "                    313.96\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-11-06T00:00:00\",\n",
       "                    321.96\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-11-07T00:00:00\",\n",
       "                    321.74\n",
       "                ],\n",
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       "                    \"2017-11-08T00:00:00\",\n",
       "                    319.22\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-11-09T00:00:00\",\n",
       "                    320.94\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-11-10T00:00:00\",\n",
       "                    322.44\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-11-13T00:00:00\",\n",
       "                    322.4\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-11-14T00:00:00\",\n",
       "                    318.67\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-11-15T00:00:00\",\n",
       "                    318.53\n",
       "                ],\n",
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       "                    \"2017-11-16T00:00:00\",\n",
       "                    322.91\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-11-17T00:00:00\",\n",
       "                    316.7\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-11-20T00:00:00\",\n",
       "                    319.37\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-11-21T00:00:00\",\n",
       "                    320.21\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-11-22T00:00:00\",\n",
       "                    318.02\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-11-23T00:00:00\",\n",
       "                    308.52\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-11-24T00:00:00\",\n",
       "                    308.59\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-11-27T00:00:00\",\n",
       "                    305.05\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-11-28T00:00:00\",\n",
       "                    307.97\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-11-29T00:00:00\",\n",
       "                    305.64\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-11-30T00:00:00\",\n",
       "                    304.36\n",
       "                ],\n",
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       "                    306.88\n",
       "                ],\n",
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       "                    \"2017-12-04T00:00:00\",\n",
       "                    306.51\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-12-05T00:00:00\",\n",
       "                    303.3\n",
       "                ],\n",
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       "                    \"2017-12-06T00:00:00\",\n",
       "                    304.36\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-12-07T00:00:00\",\n",
       "                    303.41\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-12-08T00:00:00\",\n",
       "                    305.75\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-12-11T00:00:00\",\n",
       "                    311.88\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-12-12T00:00:00\",\n",
       "                    233.51\n",
       "                ],\n",
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       "                    \"2017-12-13T00:00:00\",\n",
       "                    234.94\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-12-14T00:00:00\",\n",
       "                    234.83\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-12-15T00:00:00\",\n",
       "                    232.96\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-12-18T00:00:00\",\n",
       "                    231.72\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-12-19T00:00:00\",\n",
       "                    233.7\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-12-20T00:00:00\",\n",
       "                    233.29\n",
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       "                [\n",
       "                    \"2017-12-21T00:00:00\",\n",
       "                    235.13\n",
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       "                    \"2017-12-22T00:00:00\",\n",
       "                    235.41\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-12-25T00:00:00\",\n",
       "                    234.66\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-12-26T00:00:00\",\n",
       "                    234.75\n",
       "                ],\n",
       "                [\n",
       "                    \"2017-12-27T00:00:00\",\n",
       "                    231.64\n",
       "                ],\n",
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       "                    \"2017-12-28T00:00:00\",\n",
       "                    232.27\n",
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       "                    234.31\n",
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       "                [\n",
       "                    \"2018-01-02T00:00:00\",\n",
       "                    235.38\n",
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       "                    236.26\n",
       "                ],\n",
       "                [\n",
       "                    \"2018-01-04T00:00:00\",\n",
       "                    237.3\n",
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       "                [\n",
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       "                    237.64\n",
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       "                    237.83\n",
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       "                    239.51\n",
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       "                    \"2018-01-12T00:00:00\",\n",
       "                    240.17\n",
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       "                [\n",
       "                    \"2018-01-15T00:00:00\",\n",
       "                    237.8\n",
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       "                [\n",
       "                    \"2018-01-16T00:00:00\",\n",
       "                    239.18\n",
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       "                    237.86\n",
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       "                    237.42\n",
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       "                    \"2018-01-19T00:00:00\",\n",
       "                    236.62\n",
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       "                    \"2018-01-22T00:00:00\",\n",
       "                    239.64\n",
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       "                    \"2018-01-23T00:00:00\",\n",
       "                    239.4\n",
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       "                    \"2018-01-24T00:00:00\",\n",
       "                    240.88\n",
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       "                [\n",
       "                    \"2018-01-25T00:00:00\",\n",
       "                    239.04\n",
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       "                [\n",
       "                    \"2018-01-26T00:00:00\",\n",
       "                    239.12\n",
       "                ],\n",
       "                [\n",
       "                    \"2018-01-29T00:00:00\",\n",
       "                    234.5\n",
       "                ],\n",
       "                [\n",
       "                    \"2018-01-30T00:00:00\",\n",
       "                    234.44\n",
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       "                [\n",
       "                    \"2018-01-31T00:00:00\",\n",
       "                    232.9\n",
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       "                    \"2018-02-01T00:00:00\",\n",
       "                    227.32\n",
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       "                    224.07\n",
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       "                    \"2018-02-23T00:00:00\",\n",
       "                    224.1\n",
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       "                [\n",
       "                    \"2018-02-26T00:00:00\",\n",
       "                    227.84\n",
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       "                    \"2018-02-27T00:00:00\",\n",
       "                    227.01\n",
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       "                    238.3\n",
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       "        \"#2f4554\",\n",
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       "        \"#f6f5ec\"\n",
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       "            \"show\": true,\n",
       "            \"type\": \"slider\",\n",
       "            \"start\": 50,\n",
       "            \"end\": 100,\n",
       "            \"orient\": \"horizontal\"\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "myChart_c3bebde6e30244ab94285bbb9fe4cddf.setOption(option_c3bebde6e30244ab94285bbb9fe4cddf);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.charts.line.Line at 0x10cc841d0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f_t.v_totvalue() # 基金持有金额的变动可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "myChart_e137c2aec720462c8a7e2496e2470abc.setOption(option_e137c2aec720462c8a7e2496e2470abc);\n",
       "\n",
       "    });\n",
       "</script>\n"
      ],
      "text/plain": [
       "<pyecharts.charts.line.Line at 0x10beaf5c0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f_t.v_tradecost() # 同时比较基金净值和自己交易的单位成本的变动"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
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       "myChart_d73226119c0444b2a8af8b1ff2b5fa63.setOption(option_d73226119c0444b2a8af8b1ff2b5fa63);\n",
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      "text/plain": [
       "<pyecharts.charts.bar.Bar at 0x10cd10e10>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f_t.v_tradevolume(bar_category_gap='85%') # 基金交易量的可视化"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "其他基金的交易分析同理。除了基金，指数类和货币基金类也可以作为交易标的进行交易和分析"
   ]
  }
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